Abstract
BACKGROUND
Case fatality rates among African children with cerebral malaria remain in the range of 15 to 25%. The key pathogenetic processes and causes of death are unknown, but a combination of clinical observations and pathological findings suggests that increased brain volume leading to raised intracranial pressure may play a role. Magnetic resonance imaging (MRI) became available in Malawi in 2009, and we used it to investigate the role of brain swelling in the pathogenesis of fatal cerebral malaria in African children.
METHODS
We enrolled children who met a stringent definition of cerebral malaria (one that included the presence of retinopathy), characterized them in detail clinically, and obtained MRI scans on admission and daily thereafter while coma persisted.
RESULTS
Of 348 children admitted with cerebral malaria (as defined by the World Health Organization), 168 met the inclusion criteria, underwent all investigations, and were included in the analysis. A total of 25 children (15%) died, 21 of whom (84%) had evidence of severe brain swelling on MRI at admission. In contrast, evidence of severe brain swelling was seen on MRI in 39 of 143 survivors (27%). Serial MRI scans showed evidence of decreasing brain volume in the survivors who had had brain swelling initially.
CONCLUSIONS
Increased brain volume was seen in children who died from cerebral malaria but was uncommon in those who did not die from the disease, a finding that suggests that raised intracranial pressure may contribute to a fatal outcome. The natural history indicates that increased intracranial pressure is transient in survivors. (Funded by the National Institutes of Health and Wellcome Trust U.K.)
Despite recent advances in treatment, prevention, and control, malaria remains a major scourge.1 Quinine, the mainstay of treatment for cerebral malaria for 300 years, has been supplanted by artesunate,2,3 but despite more rapid parasite clearance with artesunate, the case fatality rate among African children with cerebral malaria treated with arte-sunate remains high at 18%.3 Improvements in community-based care will help to prevent cerebral malaria, but additional advances in the treatment of hospitalized patients will probably require adjunctive therapies targeting key pathogenetic mechanisms.
The pathogenesis of cerebral malaria is incompletely understood, and although there is considerable evidence to suggest that the processes differ in adults and children,4,5 most hypotheses encompass a feature of the parasite life cycle that is unique to Plasmodium falciparum: the sequestration of parasitized erythrocytes in the microvasculature of various organs, including the brain.6 The ramifications of sequestration with potential pathogenetic significance include vascular congestion,7 impaired perfusion,8 endothelial-cell activation,9,10 which may lead to breakdown of the blood–brain barrier11 and cerebral edema,12 and a systemic inflammatory response13,14 resulting in a prothrombotic state.15–19
Until recently, the identification of the critical pathogenetic mechanisms has been complicated by an imprecise clinical case definition. Findings from a large autopsy-based study of clinicopathological correlates in cerebral malaria showed that up to 25% of children who met the standard clinical case definition of cerebral malaria20 did not have histologic evidence of sequestration at autopsy.6 Nonmalarial causes of death were identified in each case. A constellation of ocular funduscopic findings, known collectively as malarial retinopathy, reliably distinguishes malarial coma from nonmalarial coma during life, and the inclusion of eye findings in the clinical case definition significantly improves its specificity without compromising sensitivity.21,22
The same autopsy-based study showed that increased brain weight–for–age was nearly ubiquitous among patients who died with clinically defined cerebral malaria, with or without sequestration, but there were no consistent gross pathological findings implicating raised intracranial pressure as a cause of death.6 Earlier studies involving African children with cerebral malaria, in which intracranial pressure was monitored directly, showed raised intracranial pressure,12,23 and a study of computed tomographic (CT) imaging in children with acute cerebral malaria showed significantly increased brain volume in 6 of 14 children24; however, in order to determine the association between increased brain volume and death definitively, larger numbers of well-characterized patients and comparisons with survivors were needed. For these reasons, we added magnetic resonance imaging (MRI) studies to the clinical characterization of children with retinopathy-positive cerebral malaria in Blantyre, Malawi.
METHODS
STUDY DESIGN
This observational study was performed at the Queen Elizabeth Central Hospital in Blantyre, Malawi, from January 2009 through June 2011. All children older than 5 months of age who met the clinical case definition of cerebral malaria (Blantyre coma score ≤2, on a scale from 0 to 5, with lower scores indicating decreased levels of consciousness; peripheral parasitemia with P. falciparum of any density; and no other discernible cause of coma) were identified and cared for in a high-dependency ward. Patients were treated with intravenous quinine (according to national guidelines at the time) and adjunctive measures as needed. Mechanical ventilation was not available. A trained ophthalmologist performed ocular funduscopy within 6 hours after admission.
Venous blood was drawn on admission to obtain a complete blood count (Coulter Counter, Beckman Coulter) and blood culture (BACTEC 9120, Becton Dickinson). We analyzed finger-prick samples to determine the parasite species and density, packed-cell volume, and blood glucose and lactate concentrations. Status with respect to human immunodeficiency virus (HIV) infection was determined with the use of two rapid tests: Uni-Gold Recombigen HIV-1/2 (Trinity Biotech) and Determine HIV-1/2 (Inverness Medical). A lumbar puncture was performed unless, in the judgment of the admitting clinician, it was contraindicated. The opening pressure was measured with the use of a flexible manometer,25 and the cerebrospinal fluid (CSF) was analyzed (cell count, Gram’s staining, and culture) with the use of standard methods.26 Further details of the study are provided in the protocol (including the statistical analysis plan), available with the full text of this article at NEJM.org.
STUDY OVERSIGHT
This study was approved by the research ethics committee at the University of Malawi College of Medicine and by the institutional review board at Michigan State University. On admission of the patient to the hospital, written informed consent was obtained from an accompanying parent or guardian.
MRI SCANS
Scans were performed with the use of the 0.35-T Signa Ovation Excite MRI scanner (General Electric) (Table S2 in the Supplementary Appendix, available at NEJM.org). Two radiologists, who were unaware of each other’s readings and of the patient’s retinopathy status and clinical outcome, interpreted each MRI study. Adjudication was performed by the two radiologists as required on the basis of prespecified criteria.27 Overall brain volume was scored on the basis of the appearance of the cerebral hemispheres on a scale from 1 to 8, with a score of 1 indicating marked atrophy, 2 mild atrophy, 3 normal volume, 4 slightly increased volume, 5 mildly increased volume, 6 obvious but moderate levels of increased brain volume, 7 substantially increased volume with diffuse sulcal and cisternal effacement but no evidence of herniation, and 8 sulcal and cisternal effacement with evidence of herniation. Volume scores of 7 and 8 were prespecified as severely increased brain volume because the radiologists considered these scores to indicate a life-threatening condition.
A previously described lobar distribution of MRI abnormalities28 (anterior or homogeneous vs. predominantly posterior cerebral) was noted. The amount of CSF surrounding the brain stem is inversely related to brain volume, and two objective measures on a sagittal MRI scan were made (Fig. 1): the anterior–posterior dimension of the postpontine space, which quantifies CSF in the fourth ventricle, and the anterior–posterior dimension of the prepontine space, which represents CSF in the subarachnoid space.
ELECTROENCEPHALOGRAPHY
Electroencephalograms (EEGs) were recorded on the day of admission by means of a Ceegraph digital machine (BioLogic) with the use of a modified 10–20 system that met the guidelines of the American Clinical Neurophysiology Society.29 EEGs were systematically reviewed by a neurologist with fellowship training in EEG who was unaware of the patients’ retinopathy status and outcome. The assessed EEG characteristics included the dominant background rhythm, the average background amplitude excluding vertex sharp waves (sharp waves from the vertex that occur in association with normal sleep) and epileptiform activity (<60 µV vs. ≥60 µV), the presence or absence of normal sleep architecture (which included assessments of vertex sharp waves, sleep spindles, and K complexes), and reactivity (present vs. absent).
STATISTICAL ANALYSIS
The clinical characteristics and MRI and EEG features of the children with cerebral malaria who died were compared with those of the children who survived, with the use of Pearson’s chisquare tests or Fisher’s exact tests for categorical variables and Student’s t-tests or Wilcoxon tests for continuous markers. Reliability analyses (kappa statistics and intraclass correlation coefficients) were performed to compare the readings by the two radiologists. The strength of association was measured by means of odds ratios estimated in crude and adjusted logistic-regression models. For logistic-regression models, the linear association of continuous predictors with the logit of death was first evaluated by means of generalized additive models. The selection of relevant markers was based on P values in a Wald test of less than 0.05. With the use of best-subset regression, relevant MRI markers were selected, and then various EEG, clinical, and laboratory variables were evaluated for their predictive capacity. None of the clinical or laboratory variables emerged as independent predictors. For the final model, we reported the P value of the likelihood-ratio test in which models that included each marker were compared with models lacking that specific marker. In addition, we tested all two-way interactions in the final logistic-regression models.
We tried to identify risk factors for important MRI features among the demographic, clinical, laboratory, and EEG variables, using logistic regression in the analysis of categorical variables and linear regression in the analysis of continuous outcomes. Changes over time in the measurements of CSF in the prepontine cistern in the patients who underwent both a baseline MRI and an additional MRI were studied by means of a linear mixed model. In these models, a random intercept and random slope for change in prepontine CSF according to a subsequent MRI scan were included to account for within-patient correlation, and we used an interaction test to determine differences in the slope of trajectories between the patients who died and those who survived.
Statistical analyses were performed with the use of SAS software, version 9.2 (SAS Institute) and R software.30 P values are two-sided, and P values of 0.05 or less were considered to indicate statistical significance. No adjustment for multiple testing was performed.
RESULTS
STUDY POPULATION
A total of 348 children met the World Health Organization (WHO) criteria20 for cerebral malaria during the 3-year study period. A total of 85 children did not have retinopathy, and 1 did not undergo funduscopic examination; these children were excluded from the analysis. Of the 262 children who met the strict definition of cerebral malaria (WHO criteria plus retinopathy), imaging was not possible in 46 patients who regained consciousness quickly, 15 who died before imaging was undertaken, and 33 who could not undergo scanning for logistic reasons. The 15 children with retinopathy-positive cerebral malaria who died before undergoing MRI were more likely to have acidosis than were the 168 children who underwent MRI examination, and also had shorter coma-duration times, but otherwise the groups were similar (Table S4 in the Supplementary Appendix). Findings from the 168 children with complete information, including 143 children who survived (85%) and 25 who died (15%), are described here.
CLINICAL AND Imaging FEATURES ASSOCIATED WITH A FATAL OUTCOME
With respect to laboratory test results, only the plasma lactate concentration and white-cell count distinguished children who survived from those who died (Table 1). Among MRI features, severely increased brain volume, decreased prepontine and postpontine CSF levels, predominantly posterior cerebral involvement, supratentorial graymatter lesions, thalamic involvement, and the presence of patchy (vs. confluent) lobar areas of involvement significantly distinguished children who survived from those who died (Fig. 1 and Table 2). The overall agreement between the two radiologists’ readings varied from 71 to 96%; the moderate kappa values are attributed to the skewed or unbalanced marginal distributions (Table S3 and Fig. S1 in the Supplementary Appendix).
Table 1.
Characteristic | Patients Who Survived (N = 143) |
Patients Who Died (N = 25) |
P Value† |
---|---|---|---|
Age — mo | 52±27 | 50±30 | 0.76 |
Male sex — no. (%) | 74 (52) | 11 (44) | 0.52 |
Mid-upper-arm circumference — cm | 15.1±1.7 | 14.9±1.6 | 0.57 |
Weight — kg | 14±5 | 13±4 | 0.39 |
Height — cm | 98±16 | 95±14 | 0.39 |
Variable before admission | |||
Duration of fever — hr | 64.2±32.3 | 55.3±31.6 | 0.21 |
Duration of coma — hr | 15.6±20.8 | 14.5±15.4 | 0.76 |
History of seizure — no. (%) | 123 (86) | 20 (80) | 0.32 |
Temperature — °C | 38.8±1.2 | 38.8±1.3 | 0.94 |
Pulse rate — beats/min | 152±24 | 156±26 | 0.47 |
Respiratory rate — breaths/min | 44±11 | 47±12 | 0.20 |
Liver size — cm below costal margin | 1.4±1.6 | 1.7±1.6 | 0.32 |
Jaundice — no. (%) | 12 (8) | 3 (12) | 0.47 |
Spleen size — cm below costal margin | 0.9±1.4 | 0.7±1.2 | 0.73 |
Deep breathing — no. (%) Blantyre coma score — no. (%)‡ | 29 (20) | 5 (20) | 1.00 |
0.09 | |||
0 | 13 (9) | 2 (8) | |
1 | 71 (50) | 15 (60) | |
2 | 59 (41) | 8 (32) | |
Seizure at time of admission — no. (%) | 28 (20) | 4 (16) | 0.79§ |
CSF opening pressure — mm of water¶ | 0.33 | ||
Median | 140 | 170 | |
Interquartile range | 100–180 | 119–230 | |
Papilledema — no./total no. (%) | 46/139 (33) | 10/25 (40) | 0.50 |
Hematocrit — % | 20.8±5.6 | 20.9±4.6 | 0.89 |
Platelets — ×10−9/liter | 0.17 | ||
Median | 54 | 46 | |
Interquartile range | 34–87 | 25–71 | |
Parasitemia — parasites/mm3 | 0.23 | ||
Median | 55,778 | 71,280 | |
Interquartile range | 12,660–220,000 | 31,680–528,000 | |
White cells — ×10−9/liter | 0.05 | ||
Median | 8.4 | 11.7 | |
Interquartile range | 6.6–12.7 | 6.7–19.4 | |
Sodium — mmol/liter‖ | 136.3±7.4 | 136.0±4.7 | 0.89 |
Lactate — mmol/liter | 6.8±4.2 | 9.8±4.2 | 0.001 |
Blood glucose — mmol/liter** | 6.3±2.9 | 6.8±3.5 | 0.52 |
CSF white-cell count | |||
≥5 — no./total no. (%) | 13/107 (12) | 3/15 (20) | 0.42§ |
Count in patients with value ≥5 | 0.70 | ||
Median | 7 | 9 | |
Interquartile range | 5–10 | 6–12 | |
HIV positive — no./total no. (%) | 17/130 (13) | 2/21 (10) | 0.75§ |
Plus–minus values are means ±SD. No cerebrospinal fluid (CSF) or blood cultures resulted in growth of a pathogen. HIV denotes human immunodeficiency virus.
P values were estimated with the use of Student’s t-tests for means, Wilcoxon rank-sum tests for medians, and Pearson’s chi-square tests for proportions, except when noted otherwise.
The scale for the Blantyre coma score ranges from 0 to 5, with lower scores indicating decreased levels of consciousness.
The P value was estimated with the use of Fisher’s exact test.
A total of 107 children who survived and 15 children who died underwent CSF analysis.
Data were available for 136 patients who survived and for 12 who died.
Data were available for patients who did not receive dextrose before admission (115 of the patients who survived and 19 of those who died). To convert the values for blood glucose to milligrams per deciliter, divide by 0.05551.
Table 2.
Finding on MRI or EEG | Patients Who Survived (N = 143) |
Patients Who Died (N = 25) |
Single Covariate Regression Analysis |
Multiple Regression Analysis† |
||
---|---|---|---|---|---|---|
Odds Ratio (95% CI) |
P Value‡ | Odds Ratio (95% CI) |
P Value‡ | |||
Abnormality on MRI | ||||||
Brain-volume indicator | ||||||
Severely increased brain volume (no.)§ | 39 | 21 | 14.0 (4.5–43.4) | <0.001 | 7.5 (2.1–26.9) | <0.001 |
Postpontine CSF (mm) | 0.7 (0.6–0.9) | <0.001 | — | |||
Median | 10.0 | 8.5 | ||||
Interquartile range | 8.7–11.3 | 6.8–9.9 | ||||
Prepontine CSF (mm) | 0.5 (0.4–0.7) | <0.001 | 0.5 (0.3–0.8) | <0.001 | ||
Median | 5.1 | 3.6 | ||||
Interquartile range | 4.4–6.5 | 2.3–5.2 | ||||
Increased signal on T2-weighted imaging (no)¶ |
||||||
Subcortical white matter | 106 | 16 | 0.6 (0.2–1.5) | 0.29 | — | — |
Periventricular white matter | 47 | 11 | 1.6 (0.7–3.8) | 0.28 | — | — |
Thalamus | 64 | 17 | 2.6 (1.1–6.5) | 0.03 | — | — |
Cortical gray matter | 119 | 24 | 4.8 (0.6–37.5) | 0.13‖ | — | — |
Posterior fossa | 92 | 19 | 1.8 (0.7–4.7) | 0.26 | — | — |
Corpus callosum | 66 | 9 | 0.7 (0.3–1.6) | 0.35 | — | — |
Pons | 72 | 15 | 1.5 (0.6–3.5) | 0.37 | — | — |
Brain stem | 92 | 20 | 2.2 (0.8–6.3) | 0.13 | — | — |
Basal ganglia | 116 | 23 | 2.7 (0.6–12.0) | 0.26‖ | — | — |
Increased signal on diffusion-weighted imag- Ing (no.)** |
||||||
Supratentorial white matter | 63 | 6 | 0.4 (0.2–1.1) | 0.07 | — | — |
Supratentorial gray matter | 10 | 10 | 9.4 (3.3–26.4) | <0.001 | — | — |
Posterior fossa | 7 | 1 | 0.8 (0.1–7.1) | 1.0‖ | — | — |
Corpus callosum | 52 | 5 | 0.4 (0.2–1.3) | 0.12 | — | — |
Basal ganglia | 41 | 7 | 1.0 (0.4–2.6) | 0.99 | — | — |
Anatomical variables on T2-weighted or diffu- sion-weighted imaging (no.) |
||||||
Posterior fossa | ||||||
Involved | 11 | 2 | 1.0 (0.2–5.0) | 1.0 | — | |
Spared | 44 | 9 | 1.3 (0.5–3.1) | 0.60 | — | |
Posterior predominance | 16 | 8 | 3.6 (1.6–9.8) | 0.01‖ | 3.4 (0.9–12.7) | 0.02 |
Patchy lesions†† | 9 | 7 | 3.4 (1.4–8.4) | 0.006‖ | — | |
EEG finding | ||||||
Clinical or subclinical seizure activity (no.) | 88 | 18 | 1.6 (0.6–4.6) | 0.32 | — | |
Normal sleep architecture (no.) | 53 | 3 | 0.2 (0.0–0.6) | 0.006 | — | |
Reactivity (no.) | 52 | 3 | 0.2 (0.0–0.6) | 0.003 | — | |
Dominant rhythm frequency (Hz) | ||||||
Median | 2.5 | 1.5 | 0.4 (0.2–0.7) | <0.001 | 0.3 (0.2–0.6) | <0.001 |
Interquartile range | 1.5–3.3 | 1.5–2.0 | ||||
Average background amplitude (mV) | ||||||
Median | 100 | 80 | 1.0 (1.0–1.0) | 0.08 | — | |
Interquartile range | 80–150 | 50–120 |
Comparisons were performed with the use of single covariate and multiple logistic-regression analyses. The model presented here had a Hosmer–Lemeshow chi-square of 0.68 and a C-statistic of 0.90. CI denotes confidence interval, and EEG electroencephalogram.
No clinical or laboratory covariate was a significant predictor of death or increased the C-statistic in models that included relevant MRI and EEG features. The multivariate analysis included 124 patients who survived and 25 who died; 19 patients who did not undergo EEG were excluded.
P values in the single covariate analysis were estimated with the use of Pearson’s chi-square test (or Fisher’s exact test, where noted) for categorical variables and with the use of the Wilcoxon rank-sum test for continuous variables. P values in the multiple regression analysis were estimated with the use of likelihood-ratio tests.
Severely increased brain volume was defined as a volume score of 7 or 8, as compared with a score of 1 to 6. Overall brain volume was scored on the basis of the appearance of the cerebral hemispheres on a scale from 1 to 8, with a score of 1 indicating marked atrophy, 2 mild atrophy, 3 normal volume, 4 slightly increased volume, 5 mildly increased volume, 6 obvious but moderate levels of increased brain volume, 7 substantially increased volume with diffuse sulcal and cisternal effacement but no evidence of herniation, and 8 sulcal and cisternal effacement with evidence of herniation. The risk of death associated with the patients’ scores was as follows: score of 2, 0%; score of 3, 0%; score of 4, 8%; score of 5, 4%; score of 6, 4%; score of 7, 31%, and score of 8, 55% (P<0.001 for all comparisons for the association with death). No patient had a score of 1 in this study.
An increased signal on T2-weighted imaging indicates increased water within the affected brain tissue.
The P value was estimated with the use of Fisher’s exact test.
An increased signal on diffusion-weighted imaging without an increased signal on T2-weighted imaging represents restricted diffusion of water molecules.31
Patchy lesions were defined as focal areas of pronounced lobar involvement, as assessed on T2-weighted imaging, and may represent discrete areas of cerebral injury or involvement, possibly related to localized cerebritis on a backdrop of diffuse venous occlusion. Confluent lesions may represent diffuse venous occlusion only.
Among patients with increased brain volume, all those who died had a decreased prepontine CSF level, a predominantly posterior pattern, or both. Among the 25 patients who died in this study, 21 (84%) had brain swelling on the initial MRI (Fig. 2).
The EEG variables associated with a fatal outcome were the absence of normal sleep architecture and reactivity and a median dominant rhythm frequency that was slower than that observed in the patients who survived (Table 2). In an analysis that accounted for MRI, EEG, and clinical factors simultaneously, the final model included three MRI variables (decreased prepontine CSF level, severely increased brain volume, and posterior predominance) and one EEG feature (slower dominant rhythm frequency in the children who died, as compared with those who survived) (Table 2); the associated area under the receiver-operating-characteristic (ROC) curve was 0.90.
PREDICTORS OF MRI ABNORMALITIES ASSOCIATED WITH FATAL OUTCOME
Among all the demographic and clinical factors at the time of admission, increased brain volume was significantly associated with the concentration of lactate (odds ratio, 1.1 per mmol of lactate; P = 0.01), jaundice (odds ratio, 3.0; P = 0.04), and papilledema (odds ratio, 2.1; P = 0.02). Risk factors for a decreased prepontine CSF level included papilledema (difference in median between the group of patients who died and the group of those who survived, 0.03; P = 0.01), a lower hematocrit level in patients with less prepontine CSF, as compared with those with more prepontine CSF (Spearman’s correlation coefficient, −0.16; 95% confidence interval [CI], −0.30 to −0.01; P = 0.03 in the regression slope), and witnessed convulsions on admission (difference in median, 0.51; P = 0.05 by the Wilcoxon test). The third independent MRI predictor, predominantly posterior involvement, was associated with an increased white-cell count and a decreased platelet count and with three EEG features: absence of reactivity (P = 0.004) and, as compared with patients without predominantly posterior involvement, lower average background amplitude (P = 0.04) and a slower dominant background rhythm frequency (P = 0.03).
RELATIONSHIP OF DEATH WITH BRAIN SWELLING
Of the 25 children who died, 21 (84%) had evidence of severely increased brain volume on the MRI scan at admission (odds ratio for brain swelling among patients who died vs. those who survived, 14.0; 95% CI, 4.5 to 43.4); all 21 died from respiratory arrest, consistent with the effects of increased intracranial pressure. Of the 4 patients without increased brain volume at admission, 3 died from respiratory arrest within 24 hours after admission but had not undergone a second MRI that could have detected a subsequent increase in brain volume if such an increase had occurred. The fourth patient died 17 days after admission from complications associated with HIV infection. By contrast, 39 of 143 survivors (27%) had evidence of severely increased brain volume on admission.
CHANGES IN BRAIN SWELLING OVER TIME
A total of 35 patients (5 children who died and 30 who survived) underwent a second MRI within 30 hours after the initial scan. Prepontine CSF levels decreased over time in the patients who died, whereas this measurement remained the same or increased in the patients who survived. The difference in trends was significant (P = 0.02) (Fig. 3).
DISCUSSION
Increased intracranial pressure has long been suspected to contribute to the pathogenesis of cerebral malaria in children. Uncertainty regarding its role has been exacerbated by disease heterogeneity, underpowered clinical trials,32 misclassification, and the paucity of large studies comparing the relevant features of patients who survive with the features of those who do not. Our study design addressed the sources of this uncertainty, and the findings suggest that brain swelling and the likely increase in intracranial pressure that is associated with brain swelling are strong predictors of death in Malawian children with cerebral malaria.
Some children with cerebral malaria have clinical signs consistent with brain-stem compromise as a result of raised intracranial pressure.12 Increased intracranial pressure, measured directly, has been observed in children with cerebral malaria,12,23 and in one study, CT scans showed increased brain volumes in 6 of 14 children.24 At the time of those previous studies, the importance of retinopathy status was not known, and all the children underwent scanning more than 40 hours after admission, which may have been too late to identify brain swelling. In our study, all the deaths from malaria occurred within 48 hours after admission, and the brain volumes, as assessed by means of MRI, had decreased in the 4 survivors with retinopathy-positive cerebral malaria who were still comatose 40 hours after admission. One limitation of our study is that 15 children with retinopathy-positive cerebral malaria died before undergoing an MRI, and their MRI findings may have been different from those in the patients who did undergo MRI (Table S4 in the Supplementary Appendix).
Of the imaging features specific to children with cerebral malaria,28 severely increased brain volume was the feature most strongly associated with a fatal outcome (Table 2). The combination of three MRI features, each related to brain swelling, and one EEG finding, also associated with increased intracranial pressure and low survival rates after brain injury,33–35 generated a model, derived exclusively from this data set, that predicted a fatal outcome (area under the ROC curve, 0.9); however, this model needs further confirmation.
The majority of patients with severely increased brain volume had decreased CSF in the prepontine space, and the most likely cause of death in this group was brain-stem herniation. A smaller subgroup of patients with brain swelling did not have a decrease in the prepontine CSF (Fig. 2). In this subgroup, an unusual pattern of posterior cerebral predominance was noted on the MRI. This pattern may result from transient occlusion of the internal cerebral vein and the vein of Galen36 as a consequence of sequestration in postcapillary venules of the deep venous system. Among 24 patients with the posterior predominant pattern, 14 had an increased signal in the thalami on T2-weighted MRI (Fig. 1F), a finding that is consistent with venous obstruction.37 The high mortality in the group with predominantly posterior involvement was probably related to the hemodynamic consequences of raised intracranial pressure. The fact that two distinct groups, with MRI features and clinical risk factors that differed from each other, comprised the high-risk subgroup of children with cerebral malaria with increased brain volume suggests that different mechanisms may contribute to brain swelling.
The unifying feature in the pathogenesis of malaria is the sequestration of parasitized erythrocytes in the microvasculature of various organs. Four mechanisms could, individually or in combination, result in increased brain volume as a result of sequestration. Two involve the brain parenchyma. Cytotoxic edema could result from impaired perfusion, metabolic injury, and cell death,28,38 whereas vasogenic edema and inflammation could be caused by endothelial-cell activation leading to disruption of the blood–brain barrier.11,39 Two other mechanisms could increase brain volume by increasing cerebral blood volume. Intense sequestration in postcapillary venules could lead to venous obstruction and vascular congestion,40 and the anemia, seizures, and fever that are characteristic of cerebral malaria in children could lead to increased cerebral blood flow (hyperemia) and dysfunction of autoregulatory systems.41 Interventions targeting these mechanisms (e.g., glucocorticoids, osmotic agents, elevation of the head of the bed, and aggressive management of fevers and seizures) would be feasible in areas where malaria is endemic.
Why was the mechanism of severely increased brain volume leading to herniation not appreciated at autopsy? Classically, the hallmarks of brain swelling and herniation on gross pathological examination are petechiae and grooving of the cerebellar tonsils as they are forced through the foramen magnum or the uncinate processes of the temporal lobes as they are forced over the tentorium. In a series of autopsies performed in Malawi, most of the patients who died from cerebral malaria and most of the comatose patients who died from nonmalarial illnesses had evidence of substantially increased brain volume,6,21 and signs of herniation were noted in 22% of the patients,42 but since brain swelling was nearly ubiquitous and comparisons with survivors were impossible, the relevance was not appreciated. The paucity of classic gross pathological findings may be a result of the rapidity with which death ensues in young children after brain-stem compromise when mechanical ventilatory support is not available,43 combined with the fact that the calvaria must be removed before the base of the brain can be examined.
Brain swelling is not inevitably fatal. In our study, approximately 65% of the children with severely increased brain volume survived. Among survivors, the volume increase was transient, and the long-term outcomes were similar to those observed in survivors with normal brain volumes, suggesting that interventions that decrease brain swelling or sustain respiration temporarily, while the brain is swollen, may reduce mortality without increasing morbidity.
Supplementary Material
Acknowledgments
Supported by a grant (5R01AI034969) from the National Institutes of Health and by a Strategic Award for the Malawi– Liverpool–Wellcome Clinical Research Programme from the Wellcome Trust U.K. General Electric Healthcare donated the Signa 0.35-T magnetic resonance imager (MRI) used in this work, and the Michigan State University College of Osteopathic Medicine sponsored the construction of the building that houses the MRI in Malawi.
We thank the children and their parents and guardians for participation in the study; the many skilled nurses and clinicians who provided clinical care for the children on the research ward; Dr. E. James Potchen, Professor Emeritus in the Department of Radiology at Michigan State University, for wide-ranging vision and support; Ms. Careen Loos for assistance with earlier versions of the figures; Mr. Matt Latourette for technical support; Dr. Ian MacCormick for insights regarding cerebral vasculature; Dr. Michael S. Barry for feedback on an earlier version of the manuscript; and Drs. Joyce DeJong, Rudy Castellani, Kiran Thakur, and Kevin DeMarco for help with data interpretation.
Footnotes
Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.
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